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Journal of the American Academy of Child and Adolescent Psychiatry|July 6, 2025
Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-AnalysisJanna Marie Bas-Hoogendam, Rachel A Bernstein, Brenda E Benson, et al.Journal of Sleep Research|April 29, 2021
ENIGMA-Sleep: Challenges, opportunities, and the road mapMasoud Tahmasian, André Aleman, Ole A Andreassen, et al.Human Brain Mapping|July 6, 2026
Brain Aging in Specific Phobia: An ENIGMA-Anxiety Mega-AnalysisKimberly V Blake, Kevin Hilbert, Jonathan C Ipser, et al.Molecular Psychiatry|September 1, 2019
White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working groupLaura S van Velzen, Sinead Kelly, Dmitry Isaev, et al.The American Journal of Psychiatry|July 30, 2019
No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium AnalysisCarolien G F de Kovel, Lyubomir Aftanas, André Aleman, et al.Translational Psychiatry|May 31, 2020
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharingLianne Schmaal, Elena Pozzi, Tiffany C Ho, et al.Molecular Psychiatry|January 13, 2026
Structural brain differences associated with panic disorder: an ENIGMA-Anxiety Working Group mega-analysis of 4924 individuals worldwideLaura K M Han, Willem B Bruin, Janna Marie Bas-Hoogendam, et al.Molecular Psychiatry|October 3, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning modelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.The American Journal of Psychiatry|June 11, 2024
Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working GroupKevin Hilbert, Ole Jonas Boeken, Till Langhammer, et al.Arxiv|February 20, 2025
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning ModelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.Pageof 8